• Title/Summary/Keyword: Image Interpretation

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Research on The Influencing Factors of User Satisfaction Based on Basic Characteristics of Public Art-A Case Study of Airport Public Art (공공예술의 기본 특성에 따른 이용자 만족도 영향요인 연구-공항 공공예술을 중심으로)

  • Zhang, Yun;Zou, ChangYun;Kim, CheeYong
    • Journal of Korea Multimedia Society
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    • v.25 no.8
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    • pp.1167-1174
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    • 2022
  • With the sustainable development and transformation of the city, public art as a business card of the famous city of culture has become a hot topic of research. The intervention of public art in public space not only brings users a sense of space experience, but also becomes a unique carrier of urban and rural image making. Although there is much research on the classification, aesthetics and function of public art, there is few quantitative research on user satisfaction. This paper takes the basic features of airport public art as a research object and the basic features of airport public art as the theoretical basis to study the impact of the basic characteristics of airport public art on user satisfaction. Research methods were based on questionnaire data of 247 people, in which models and hypotheses were tested using SPSS 21.0 software, based on the induction and extraction of nine influential factors in the basic characteristics of public art. The study found that public interpretation, media patterns, color perception, modeling form, place perception, city image and memory have significant positive effects on user satisfaction. The sharedness of public art, cognition and communication in public culture and spatial relations do not affect satisfaction. Conclusion, inspiration and prospect provide suggestions for designers and reference data and theoretical support for public art evaluation.

Automated Water Surface Extraction in Satellite Images Using a Comprehensive Water Database Collection and Water Index Analysis

  • Anisa Nur Utami;Taejung Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.4
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    • pp.425-440
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    • 2023
  • Monitoring water surface has become one of the most prominent areas of research in addressing environmental challenges.Accurate and automated detection of watersurface in remote sensing imagesis crucial for disaster prevention, urban planning, and water resource management, particularly for a country where water plays a vital role in human life. However, achieving precise detection poses challenges. Previous studies have explored different approaches,such as analyzing water indexes, like normalized difference water index (NDWI) derived from satellite imagery's visible or infrared bands and using k-means clustering analysis to identify land cover patterns and segment regions based on similar attributes. Nonetheless, challenges persist, notably distinguishing between waterspectralsignatures and cloud shadow or terrain shadow. In thisstudy, our objective is to enhance the precision of water surface detection by constructing a comprehensive water database (DB) using existing digital and land cover maps. This database serves as an initial assumption for automated water index analysis. We utilized 1:5,000 and 1:25,000 digital maps of Korea to extract water surface, specifically rivers, lakes, and reservoirs. Additionally, the 1:50,000 and 1:5,000 land cover maps of Korea aided in the extraction process. Our research demonstrates the effectiveness of utilizing a water DB product as our first approach for efficient water surface extraction from satellite images, complemented by our second and third approachesinvolving NDWI analysis and k-means analysis. The image segmentation and binary mask methods were employed for image analysis during the water extraction process. To evaluate the accuracy of our approach, we conducted two assessments using reference and ground truth data that we made during this research. Visual interpretation involved comparing our results with the global surface water (GSW) mask 60 m resolution, revealing significant improvements in quality and resolution. Additionally, accuracy assessment measures, including an overall accuracy of 90% and kappa values exceeding 0.8, further support the efficacy of our methodology. In conclusion, thisstudy'sresults demonstrate enhanced extraction quality and resolution. Through comprehensive assessment, our approach proves effective in achieving high accuracy in delineating watersurfaces from satellite images.

Advanced Abdominal MRI Techniques and Problem-Solving Strategies (복부 자기공명영상 고급 기법과 문제 해결 전략)

  • Yoonhee Lee;Sungjin Yoon;So Hyun Park;Marcel Dominik Nickel
    • Journal of the Korean Society of Radiology
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    • v.85 no.2
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    • pp.345-362
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    • 2024
  • MRI plays an important role in abdominal imaging because of its ability to detect and characterize focal lesions. However, MRI examinations have several challenges, such as comparatively long scan times and motion management through breath-holding maneuvers. Techniques for reducing scan time with acceptable image quality, such as parallel imaging, compressed sensing, and cutting-edge deep learning techniques, have been developed to enable problem-solving strategies. Additionally, free-breathing techniques for dynamic contrast-enhanced imaging, such as extra-dimensional-volumetric interpolated breath-hold examination, golden-angle radial sparse parallel, and liver acceleration volume acquisition Star, can help patients with severe dyspnea or those under sedation to undergo abdominal MRI. We aimed to present various advanced abdominal MRI techniques for reducing the scan time while maintaining image quality and free-breathing techniques for dynamic imaging and illustrate cases using the techniques mentioned above. A review of these advanced techniques can assist in the appropriate interpretation of sequences.

A study on image registration and fusion of MRI and SPECT/PET (뇌의 단일 광자 방출 전산화 단층촬영 영상, 양전자 방출 단층 촬영 영상 그리고 핵자기공명 영상의 융합과 등록에 관한 연구)

  • Joo, Ra-Hyung;Choi, Yong;Kwon, Soo-Il;Heo, Soo-Jin
    • Progress in Medical Physics
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    • v.9 no.1
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    • pp.47-53
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    • 1998
  • Nuclear Medicine Images have comparatively poor spatial resolution, making it difficult to relate the functional information which they contain to precise anatomical structures. Anatomical structures useful in the interpretation of SPECT /PET Images were radiolabelled. PET/SPECT Images Provide functional information, whereas MRI mainly demonstrate morphology and anatomical. Fusion or Image Registration improves the information obtained by correlating images from various modalities. Brain Scan were studied on one or more occations using MRI and SPECT. The data were aligned using a point pair methods and surface matching. SPECT and MR Images was tested using a three dimensional water fillable Hoffman Brain Phantom with small marker and PET and MR Image was tested using a patient data. Registration of SPECT and MR Images is feasible and allows more accurate anatomic assessment of sites of abnormal uptake in radiolabeled studies. Point based registration was accurate and easily implemented three dimensional registration of multimodality data set for fusion of clinical anatomic and functional imaging modalities. Accuracy of a surface matching algorithm and homologous feature pair matching for three dimensional image registration of Single Photon Emission Computed Tomography Emission Computed Tomography (SPECT), Positron Emission Tomography (PET) and Magnetic Resonance Images(MRD was tested using a three dimensional water fill able brain phantom and Patients data. Transformation parameter for translation and scaling were determined by homologous feature point pair to match each SPECT and PET scan with MR images.

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Analytic study on Vertical Montage as expressed in Assoziation Montage -Focused on animation, Paprika- (연상 몽타주에서 나타난 수직적 몽타주 분석 -애니메이션 파프리카 중심으로-)

  • Lim, Woon-Joo
    • The Journal of the Korea Contents Association
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    • v.13 no.1
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    • pp.83-90
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    • 2013
  • This study attempts interpretation of vertical montage expressed in assoziation montage focused on animation, Paprika. Montage has been continuously studied by Pudovkin, Eisenstein, Jacques Aumont and others till now. However, existing studies focused on the visual image of montage. Image is made of visual element and aural element. These two interact with each other and maximize the effect. It is believed that the study subject can be approached in more depth, if aural elements would be analyzed based on the assoziation montage which analyzed visual image in previous studies. Accordingly, this study explores and analyzes how vertical montage has been used in logical montage and optical conflict montage and what meanings they generated. The analysis results suggested followings. In logical montage and optical conflict montage, vertical montage complemented visual image by natural concurrence as a whole. Vertical montage also showed linked relationship, which reflects overall emotion by melodious concurrence. In addition, when there was melodious concurrence at certain time, place or unclear space, the elements showed continuity which made them link with relationship. However, when the role that cuts that continuity, in other words, when the tonal element, which let audience partially immerse, would be properly used when the space and time would change or get reversed, the effect was maximized. It also expressed a turning point of an event and enhanced the concentration of audience on the characters.

Evaluating MRV Potentials based on Satellite Image in UN-REDD Opportunity Cost Estimation: A Case Study for Mt. Geum-gang of North Korea (UN-REDD 기회비용 산정에서 위성영상 기반의 MRV 여건평가: 금강산을 사례로)

  • Joo, Seung-Min;Um, Jung-Sup
    • Spatial Information Research
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    • v.22 no.3
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    • pp.47-58
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    • 2014
  • The credible measurement, reporting and verification (MRV) is among the most critical elements in UN-REDD (United Nations programme on Reducing Emissions from Deforestation and forest Degradation in Developing Countries). This study is intended to explore MRV potential in terms of UN-REDD opportunity cost estimation using satellite image for Mt. Geum-gang of North Korea. A visual interpretation were conducted to evaluate MRV conditions by sub-dividing or decomposing the images with different pixel size into a three types of hierarchical tree structure that helps dealing with spatial variability within each subarea. The permanent record of standard satellite remote sensing system demonstrated its capability of presenting area-wide visual evidences of MRV conditions in Mt. Geum-gang (such as the identification of forested area, degradation trends for forest space, three types of hierarchical land-cover and land use tree structure, carbon density in the landscape). Satellite data could be accepted as legally binding proof when it comes to REDD opportunity cost estimation since several cases exist where remote sensing has been used as legal evidence in ICJ (International Court of Justice) and UN resolution. It doesn't seem very difficult to comply with MRV requirements for UN-REDD opportunity cost calculation due to the probative value of satellite data. It is anticipated that this research output could be used as a valuable reference for Korea-based enterprises exploring REDD project sites and the carbon traders to ensure MRV potentials using satellite image in UN-REDD Opportunity Cost estimation.

Christian Education Aiming for Homo Creators (호모 크레토스를 지향하는 기독교교육)

  • Kim, Hyung Hee
    • Journal of Christian Education in Korea
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    • v.70
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    • pp.141-173
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    • 2022
  • The purpose of this study is to illuminate depersonalization in the flow of technological revolution and to present a Christian SARAMDAUM education that aims for a new human image. It represents the Christian SARAMDAUM education that adapts to, mediates, and offers alternatives to the technological and human evolutionary flow of the machine age. The purpose of education for this purpose is to aim for 'Homo Creators', creative human beings presented as a new human image in the age of technological revolution. The educational goal is to nurture creative human beings through creative interpretation, creative integration between disciplines, and personal dialogue in the post-mechanical/ post-conventional paradigm. The content of the education is a conversation with the SARAMDAUM that consiliences the characteristics of post-machine and post-convention. The educational method utilizes Edu-Tech and AIED(Artificial Intelligence in Education) to realize systemic thinking and SARAMDAUM dialogue of technology. In addition, the composition of teachers and learners, educational environment and educational evaluation is presented. The significance of this study is that from the point of view of Christian education, the identity of human beings in the era of the technological revolution has been identified, and research on the creative image of the human being is newly attempted, and the direction of Christian SARAMDAUM education aimed at this is presented. This can be said to be a Christian education that emphasizes the essential characteristics of human beings while accommodating the era of technological revolution.

The Synesthetic Presence and Physical Movement of Nong-ak as Seen Through Affect Theory (정동 이론으로 본 농악의 공감각적 현존과 신체 운동)

  • Kwon, Eun-Young
    • (The) Research of the performance art and culture
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    • no.40
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    • pp.5-35
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    • 2020
  • Affect is intensity and quality that are generated as the physical body senses the outside world. Of experienced affect, notions that are granted meaning and interpretation are emotions. Affect theory distinguishes emotion and affect and by focusing on affect, it provides methods with which to analyze physical body responses and changes and it presents new possibilities to performing arts research that uses the physical body as a medium. Nong-ak is art that concentrates mainly on the occurrence of affect rather than 'representation'. Nong-ak is a performance type in which sound, color, texture, and physical movement overlap and exist in a synesthetic way. Here, physical things such as instruments, props, costumes, and stage devices are gathered together with non-physical things such as rhythm, mood, and atmosphere around human bodies. The physical body is stimulated by these things, displays tendencies that suit performances, and becomes 'the body without an image' as it immerses itself into the performance, acting while displaying 'quasi-corporeality'. The body, which moves automatically as if without consciousness, appears more easily within groups. To transition individuals of everyday life to 'the body without an image', Nong-ak executes the group physical exercise of 'Jinpuri'. Such physical exercise builds up affect by increasing nonverbal communion and communication and brings out the creativity of individuals within mutual trust and a sense of belonging. Affect and emotion stirred up by Nong-ak act as confirmation and affirmation of the existence, vitality, and ability of one's self and groups. Such affirmation recalls Nong-ak as a meaningful and important value from group dimensions and perceives it as a performance form that should be preserved and passed on.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

  • Subhanik Purkayastha;Yanhe Xiao;Zhicheng Jiao;Rujapa Thepumnoeysuk;Kasey Halsey;Jing Wu;Thi My Linh Tran;Ben Hsieh;Ji Whae Choi;Dongcui Wang;Martin Vallieres;Robin Wang;Scott Collins;Xue Feng;Michael Feldman;Paul J. Zhang;Michael Atalay;Ronnie Sebro;Li Yang;Yong Fan;Wei-hua Liao;Harrison X. Bai
    • Korean Journal of Radiology
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    • v.22 no.7
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    • pp.1213-1224
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    • 2021
  • Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

Analytical Psychological Interpretation of the Book of Revelation Focused on Main Visions (요한 계시록의 분석심리학적 해석 : 주요 환상을 중심으로)

  • DukKyu Kim
    • Sim-seong Yeon-gu
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    • v.34 no.2
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    • pp.95-148
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    • 2019
  • The Testament is 'the repository of the psyche' which can understand the images revealed from human life, mind, and numinous experiences. When the Scripture is psychologically interpreted, not only does it offer an abundance in biblical exegesis, but is also incredibly valuable in understanding the actual dimensions of life. This study examined the meaning of main visions in the Book of Revelation from the perspective of analytical psychology. The core contents of these visions are 1) the image of Christ represented as One like the Son of Man and Apocalyptic lamb, 2) Sun and Moon Woman and Dragon, 3) Whore Babylon and Bride New Jerusalem, 4) Hieros Gamos and Descending New Jerusalem. Such archetypal images lead to become conscious of an individual, and at the same time the visions of Revelation as a drama of archetype present the transion of civilization, as ultimately penetrating the history of the time period. This article contemplated on the characteristics of the archetypal image emerging in the visions and categorized them into the father archetype, mother archetype, or anima archetype. The ultimate purpose of all the visions can be understood as the ascent, conjunction and descent. This will mean to become conscious of human and incarnation of God, i.e. the individuation process. In our time suffering from masculine one-sidedness, the vision of new Jerusalem presents how the feminine can redeem an individual and this world.